/ai-in-sports

Source code for AI in Sports with Python

Primary LanguageJupyter Notebook

AI in Sports with Python

See the full VIDEO COURSE, with access to all episodes and instructional videos!

This video course works best with my book "Applied Machine Learning for Health and Fitness" APRESS or buy on Amazon

Check my website: kevinashley.com for the latest updates.

http://kevinashley.com

Table of Contents

Please, use these supplemental materials and code for the video course AI in Sports with Python.

Complete list of videos, you can also navigate to individual videos and notebooks below.

For notebooks, it is recommended that your kernel environment is set to Python 3. Check requirements.txt for dependencies.

VIDEO COURSE EPISODES

Binder

  • Module 1 - Getting Started
    • Episode 1.1 - Getting Started (Video)
    • Episode 1.2 - Sport Scientist Toolbox (Video | Notebook)
  • Module 2 - Physics of Sports
  • Module 3 - Neural Networks
  • Module 4 - Deep Vision
  • Module 5 - Pose Estimation
  • Module 6 - Video Action Recognition
  • Module 7 - Reinforcement Learning
  • Module 8 - Machine Learning in the Cloud
    • Episode 8.1 - Machine Learning in the Cloud (Video | Notebook)
    • Episode 8.2 - Automating, Consuming ML, Pipelines (Video | Notebook)